具有leakage项时滞与脉冲影响的模糊细胞神经网络指数同步  

Exponential Synchronization of Fuzzy Cellular Neural Networks with Time Delay in the Leakage Term and Impulsive Effects

作　　者：耿立杰[1] 李彦路[2] 徐瑞[1] 王凌霞[3] 

机构地区：[1]军械工程学院基础部,河北石家庄050003 [2]军械工程学院训练部,河北石家庄050003 [3]邢台学院院办公室,河北邢台054001

出　　处：《数学的实践与认识》2013年第18期155-162,共8页Mathematics in Practice and Theory

基　　金：国家自然科学基金(11071254)

摘　　要：通过构造恰当的Lyapunov泛函并利用一些不等式分析技巧,得到了基于p-范数的耦合神经网络系统全局指数同步条件.所研究模型同时包含leakage项时滞、时变时滞和有界分布时滞,所得结果包含了之前一些文献的结论,适用范围更广泛.Some sufficient criterion in terms of p-norm is derived to ensure the coupled fuzzy neural networks to be exponentially synchronized by constructing a suitable Lyapunov functional and utilizing some inequality techniques. The mixed time delays in our model include time delay in the leakage term, discrete and distributed time-varying delays. Therefore, our result generalized a few previous known results and the criteria derived in this paper have wider application.

关 键 词：指数同步 模糊细胞神经网络 leakage项时滞 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] O231[自动化与计算机技术—控制科学与工程]